/* Copyright 2018-2023 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
=======================================================================*/

// This class has been generated, DO NOT EDIT!

package org.tensorflow.op.tpu;

import java.util.Arrays;
import java.util.Iterator;
import java.util.List;
import org.tensorflow.GraphOperation;
import org.tensorflow.Operand;
import org.tensorflow.Operation;
import org.tensorflow.OperationBuilder;
import org.tensorflow.Output;
import org.tensorflow.op.Operands;
import org.tensorflow.op.RawOp;
import org.tensorflow.op.RawOpInputs;
import org.tensorflow.op.Scope;
import org.tensorflow.op.annotation.Endpoint;
import org.tensorflow.op.annotation.OpInputsMetadata;
import org.tensorflow.op.annotation.OpMetadata;
import org.tensorflow.op.annotation.Operator;
import org.tensorflow.proto.DataType;
import org.tensorflow.types.family.TType;

/**
 * The TPUAnnotateTensorsWithDynamicShape operation
 */
@OpMetadata(
    opType = TPUAnnotateTensorsWithDynamicShape.OP_NAME,
    inputsClass = TPUAnnotateTensorsWithDynamicShape.Inputs.class
)
@Operator(
    group = "tpu"
)
public final class TPUAnnotateTensorsWithDynamicShape extends RawOp implements Iterable<Operand<TType>> {
  /**
   * The name of this op, as known by TensorFlow core engine
   */
  public static final String OP_NAME = "TPUAnnotateTensorsWithDynamicShape";

  private List<Output<?>> tpuTensors;

  @SuppressWarnings("unchecked")
  public TPUAnnotateTensorsWithDynamicShape(Operation operation) {
    super(operation, OP_NAME);
    int outputIdx = 0;
    int tpuTensorsLength = operation.outputListLength("tpu_tensors");
    tpuTensors = Arrays.asList(operation.outputList(outputIdx, tpuTensorsLength));
    outputIdx += tpuTensorsLength;
  }

  /**
   * Factory method to create a class wrapping a new TPUAnnotateTensorsWithDynamicShape operation.
   *
   * @param scope current scope
   * @param tensors The tensors value
   * @return a new instance of TPUAnnotateTensorsWithDynamicShape
   */
  @Endpoint(
      describeByClass = true
  )
  public static TPUAnnotateTensorsWithDynamicShape create(Scope scope,
      Iterable<Operand<?>> tensors) {
    OperationBuilder opBuilder = scope.opBuilder(OP_NAME, "TPUAnnotateTensorsWithDynamicShape");
    opBuilder.addInputList(Operands.asOutputs(tensors));
    return new TPUAnnotateTensorsWithDynamicShape(opBuilder.build());
  }

  /**
   * Gets tpuTensors.
   *
   * @return tpuTensors.
   */
  public List<Output<?>> tpuTensors() {
    return tpuTensors;
  }

  @Override
  @SuppressWarnings({"rawtypes", "unchecked"})
  public Iterator<Operand<TType>> iterator() {
    return (Iterator) tpuTensors.iterator();
  }

  @OpInputsMetadata(
      outputsClass = TPUAnnotateTensorsWithDynamicShape.class
  )
  public static class Inputs extends RawOpInputs<TPUAnnotateTensorsWithDynamicShape> {
    /**
     * The tensors input
     */
    public final Iterable<Operand<?>> tensors;

    /**
     * The T attribute
     */
    public final DataType[] T;

    public Inputs(GraphOperation op) {
      super(new TPUAnnotateTensorsWithDynamicShape(op), op, Arrays.asList("T"));
      int inputIndex = 0;
      int tensorsLength = op.inputListLength("tensors");
      tensors = Arrays.asList((Operand<?>[]) op.inputList(inputIndex, tensorsLength));
      inputIndex += tensorsLength;
      T = op.attributes().getAttrTypeList("T");
    }
  }
}
